Fatores de risco para mortalidade perinatal em Pelotas, RS, 1993

Translated title of the contribution: Risk factors for perinatal mortality in an urban area of Southern Brazil, 1993

Ana M B Menezes, Fernando C. Barros, Cesar G. Victora, Elaine Tomasi, Ricardo Halpern, André L B Oliveira

Research output: Contribution to journalArticlepeer-review

29 Scopus citations

Abstract

Introduction Although there was a considerable reduction in infant mortality in Pelotas, Rio Grande do Sul in the last decade, its perinatal causes were reduced only by 28%. The associated factors of these causes were analised. Material and Method All hospital births and perinatal deaths were assessed by daily visits to all the maternity hospitals in the city, throughout 1993 and including the first week of 1994. Results The perinatal mortality rate was 22.1 per thousand births. The multivariate analysis showed the following risk factors: low socioeconomic level, male sex and maternal age above 35 years . Among multigravidae women, the fetal mortality rate was significantly increased for mothers with a previously low birthweight and a previous stillbirth. For early neonatal mortality the risk was significantly increased by a smaller number of antenatal visits than 5 and low birthweight. Conclusions Main risk factors for perinatal mortality: low socioeconomic level, maternal age above 35 years and male sex. For early neonatal mortality the risk was significantly increased by a smaller number of antenatal visits than 5 and low birthweight.

Translated title of the contributionRisk factors for perinatal mortality in an urban area of Southern Brazil, 1993
Original languagePortuguese
Pages (from-to)209-216
Number of pages8
JournalRevista de Saude Publica
Volume32
Issue number3
StatePublished - 1998
Externally publishedYes

Keywords

  • [Public health]
  • Perinatal mortality
  • Risk factors

ASJC Scopus subject areas

  • Public Health, Environmental and Occupational Health

Fingerprint

Dive into the research topics of 'Risk factors for perinatal mortality in an urban area of Southern Brazil, 1993'. Together they form a unique fingerprint.

Cite this